Kraken · JSON Structure

Kraken Book Data Structure

BookData schema from Kraken Spot WebSocket API v2

Type: object Properties: 5
CryptocurrencyExchangeTradingMarket DataSpot TradingFuturesDerivativesStakingEarnNFTWebSocketFIXCustodyOTCPrime BrokerageEmbedOAuthPublic APIs

BookData is a JSON Structure definition published by Kraken, describing 5 properties. It conforms to the https://json-structure.org/json-structure/v0/schema meta-schema.

Properties

symbol bids asks checksum timestamp

Meta-schema: https://json-structure.org/json-structure/v0/schema

JSON Structure

Raw ↑ 
{
  "$schema": "https://json-structure.org/json-structure/v0/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/kraken/refs/heads/main/json-structure/kraken-book-data-structure.json",
  "name": "BookData",
  "type": "object",
  "description": "BookData schema from Kraken Spot WebSocket API v2",
  "properties": {
    "symbol": {
      "type": "string",
      "examples": [
        "PI_XBTUSD"
      ]
    },
    "bids": {
      "type": "array",
      "items": {
        "type": "object",
        "name": "Inline",
        "properties": {
          "price": {
            "type": "double",
            "examples": [
              "0.01"
            ]
          },
          "qty": {
            "type": "double",
            "examples": [
              0.01
            ]
          }
        }
      },
      "examples": [
        []
      ]
    },
    "asks": {
      "type": "array",
      "items": {
        "type": "object",
        "name": "Inline",
        "properties": {
          "price": {
            "type": "double",
            "examples": [
              "0.01"
            ]
          },
          "qty": {
            "type": "double",
            "examples": [
              0.01
            ]
          }
        }
      },
      "examples": [
        []
      ]
    },
    "checksum": {
      "type": "int64",
      "description": "CRC32 checksum of the top 10 bids and asks.",
      "examples": [
        1
      ]
    },
    "timestamp": {
      "type": "string",
      "examples": [
        "2026-05-30T00:00:00Z"
      ]
    }
  }
}